1981 | OriginalPaper | Chapter
Normal Univariate Techniques
Author : Rupert G. Miller Jr.
Published in: Simultaneous Statistical Inference
Publisher: Springer New York
Included in: Professional Book Archive
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This chapter contains a number of multisample and regression techniques whose distribution theory assumes an underlying normal distribution. It includes, in particular, the fundamental work of Duncan, Seheffé, and Tukey. Those techniques which are peculiar primarily to regression (e.g., prediction and discrimination) are discussed in Chapter 3, even though they are directly related, and in some instances special cases of the methods in this chapter. The nonparametric analogs of the techniques in this chapter are covered in Chapter 4.